code: def conv2d(x, W):
      """conv2d returns a 2d convolution layer with full stride."""
      return tf.nn.conv2d(x, W, strides=[1, 1, 1, 1], padding="VALID")
  
file_path: tf-encrypted/examples/deprecated/mnist_deep_cnn.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import argparse
  import os
  import sys
  import numpy
  import tensorflow
  from tensorflow.examples.tutorials.mnist import input_data
  from tensorflow.python.framework import graph_io
  from tensorflow.python.framework import graph_util
label_desc: Use image node_id 2 for calling a global function with example usage: conv2d(x, W) and returns: tf